Abstract
Roluperidone, a 5-HT2A, sigma2, and ɑ1A-adrenergic receptor antagonist, has proven efficacious for treating negative symptoms of schizophrenia in phase 2b and phase 3 clinical trials. Using network analysis, we demonstrated that the improvements observed in the phase 2b trial resulted from targeting avolition which was highly central and spurred a cascading effect of global negative symptom reductions when successfully treated. The current study aims to replicate these network findings using the phase 3 roluperidone clinical trial data. Participants included 496 schizophrenia patients with moderate to severe negative symptoms who were randomized to either roluperidone 32 mg/day (n =167), 64 mg/day (n = 162), or placebo (n = 167). Negative symptoms were assessed at baseline and weeks 2,4,8, and 12. Network intervention analysis (NIA) evaluated treatment-induced symptom changes over time to identify direct and indirect treatment effects. This analytic approach extends prior work by determining whether the symptoms with highest centrality have causal effects on the entire negative symptom construct and directly lead to symptom improvement. NIA indicated that the efficacious 64 mg/day dose of roluperidone had a direct effect on avolition, suggesting that changes in avolition propels treatment effects across the entire negative symptom constellation. These phase 3 findings replicated the phase 2b findings, indicating that from a network perspective, roluperidone achieves its effect by influencing the extent to which avolition drives other negative symptoms. These findings are relevant for understanding negative symptoms and how to treat them in neuropsychiatric disorders.